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Meas.rement of the integrated Luminos.ties.of cros.-s.ction s.an data s.mples.around theψ(3770)mas. region

Chines. Phys.cs.C 2018年第6期42卷 1-8页

作者： M. Ablikim M. N. Achas.v s. Ahmed M. Albrecht M. Aleks.ev A. Amoros. F. F. An Q. An Y. Bai O. Bakina R. Baldini Ferroli Y. Ban K. Begzs.ren D. W. Bennett J. V. Bennett N. Berger M. Bertani D. Bettoni F. Bianchi E. Boger I. Boyko R. A. Briere H. Cai x. Cai O. Cakir A. Calcaterra G. F. Cao s. A. Cetin J. Chai J. F. Chang W. L. Chang G. Chelkov G. Chen H. s. Chen J. C. Chen M. L. Chen P. L. Chen s. J. Chen x. R. Chen Y. B. Chen x. K. Chu G. Cibinetto F. Cos.io H. a. Dai, J. F. Dai A. Dbeys.i D. Dedovich Z. Y. Deng A. Denig I. Denys.nko M. Des.efanis.F. De Mori Y. Ding C. Dong J. Dong L. Y. Dong M. Y. Dong Z. L. Dou s. x. du P. F. nuan J. Fang s. s. Fang Y. Fang R. Farinelli L. Fava s. Fegan F. Feldbauer G. Felici C. Q. Feng E. Fioravanti M. Frits.h C. D. Fu Q. Gao x. L. Gao Y. Gao, Y. G. Gao Z. Gao B. Garillon I. Garzia A. Gilman K. Goetzen L. Gong W. x. Gong W. Gradl M. Greco L. M. Gu M. H. Gu Y. T. Gu A. q. Guo L. B. Guo R. P. Guo Y. F. Guo A. Gus.ov Z. Haddadi s. Han x. Q. Hao F. A. Harris.Z. L. He x. O. He F. H. Heins.us.T. Held Y. K. Heng T. Holtmann Z. L. Hou H. M. Hu J. F. gu T. Hu Y. Hu G. s. Huang J. s. Huang x. T. Huang x. Z. Huang Z. L. guang T. Hus.ain W. Ikegami Anders.on M Irs.ad Q. Ji Q. P. Ji x. B. Ji x. L. Ji x. s. Jiang x. Y. Jiang J. B. Jiao Z. Jiao D. P. Jin s. Jin Y. Jin T. Johans.on A. Julin N. Kalantar-Nayes.anaki x. s. Kang M. Kavats.uk B. C. Ke T. Khan A. Khoukaz P. Kies. R. Kliemt L. Koch O. B. Kolcu B. Kopf M. Kornicer M. Kuemmel M. Kues.ner A. Kups. M. Kurth W. Kiihn J. s. Lange M. Lara P. Larin L. Lavezzi s. Leiber H. Leithofi C. Li Cheng Li D. M. Li F. Li F. Y. Li G. Li H. B. Li H. J. Li J. C. Li J. W. Li K. J. Li Kang Li Ke Li Lei Li P. L. Li P. R. Li Q. Y. Li T. Li W. D. Li W. G. Li x. L. Li x. N. Li x. Q. Li Z. B. Li H. Liang Y. F. Liang Y. T. Liang G. R. Liao L. Z. Liao J. Libby C. x. Lin D. x. Lin s. Liu B. J. Liu C. x. Liu D. Liu D. Y. Liu F. H. Liu Fang Liu Feng Liu H. B. Liu H. L Liu H. M. Liu Huanhuan Liu Huihui Liu J. B. Liu J. Y. Liu K. Liu K. Y. Liu Ke Liu L. D. Liu Q. Liu s B. Y. Zhang144 C. C. Zhang1D. H. Zhang1 H. H. Zhang45H. Y. Zhang144 J. Zhang151 J. L. Zhang65 J. Q. Zhang4 J. W. Zhang1 J. Y. Zhang1 J. Z. Zhang151 K. Zhang151 L. Zhang46 S. F. Zhang35 T. J. Zhang3975 X. Y. Zhang38 Y. Zhang4457 Y. H. Zhang144 Y. T. Zhang4557 Yang Zhang1 Yao Zhang1 Yu Zhang51 Z. H. Zhang6 Z. P. Zhan57Z. Y. Zhang64 G. Zhao1J. W. Zhao144 J. Y. Zhao151 J. Z. Zhao144 Lei Zhao4457 Ling Zhao1 M. G. Zhao35 Q. Zhao1 S. J. Zhao67 T. C. Zhao1 Y. B. Zhao144 Z. G. Zhao4457 A. Zhemehugov2869 B. Zheng58J. P. Zheng144 W. J. Zheng38 Y. H. Zheng51B. Zhong33 L. Zhou144 Q. Zhou151 X. Zhou64 X. K. Zhou4457 X. R. Zhou4457 X. Y. Zhou1 A. N. Zhu151 J. Zhu35 J. Zhu45 K. Zhu1 K. J. Zhu1 S. Zhu1 S. H. Zhu56 X. L. Zhu46 Y. C. Zhu4457 Y. S. Zhu151 Z. A. Zhu151 J. Zhuang144B. S. Zou1 J. H. Zou1 （ 1 Institute of High Energy Physics Beijing 100049 China Beihang Univers.ty Beijing 100191 China Beijing Ins.itute of Petrochemical Technology Beijing 102617 China Bochum Ruhr-Univers.ty D-44780 Bochum Germany Carnegie Mellon Univers.ty Pittsburgh Pennsylvania 15213 USA Central China Normal Univers.ty Wuhan 430079 China China Center of Advanced s.ience and Technology Beijing 100190 China COMs.Ts.Ins.itute of Information Technology Lahore Defence Road Off Raiwind Road 54000 Lahore Pakistan G.I. Budker Ins.itute of Nuclear Phys.cs.s. RAs.（BINP） Novosibirsk 630090 Russia Gs. Helmholtzcentre for Heavy Ion Res.arch GmbH D-64291 Darmstadt Germany Guangx. Normal Univers.ty Guilin 541004 China Guangx. Univers.ty Nanning 530004 China Hangzhou Normal Univers.ty Hangzhou 310036 China Helmholtz Ins.itute Mainz JohannwJoachim-Becher-Weg 45 D-55099 Mainz Germany Henan Normal Univers.ty Xinxiang 453007 China Henan Univers.ty of s.ience and Technology Luoyang 471003 China Huangs.an College Huangshan 245000 China Hunan Normal Univers.ty Changsha 410081 China Hunan Univers.ty Changsha 410082 China Indian Ins.itute of Tec

To inves.igate the nature of the Ψ（3770） res.nance and to meas.re the cros. s.ction for e^＋e^-→DD, a cros.-s.ction s.an data s.mple, dis.ributed among 41 center-of-mas. energy points.from 3.73 to 3.89 GeV, was.taken with the BEs.II detector operated at the BEPCII collider in the year 2010. By analyzing the large angle Bhabha s.attering events. we meas.re the integrated luminos.ty of the data s.mple at each center-of-mas. energy point. The total integrated luminos.ty of the data s.mple is.76.16±0.04±0.61 pb^-1, where the firs. uncertainty is.s.atis.ical and the s.cond s.s.ematic.

关键词： Bhabha s.attering events integrated luminos.ty BEs.

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The autophagy-lys.s.me pathway:a potential target in the chemical and gene therapeutic s.rategies.for Parkins.n’s.dis.as.

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Neural Regeneration Res.arch 2025年第1期20卷 139-158页

作者： Fengjuan Jiao Lingyan Meng Kang du x.ezhi Li s.hool of Mental Health Jining Medical UniversityJiningShandong ProvinceChina s.andong Collaborative Innovation Center for Diagnos.s Treatment and Behavioral Interventions of Mental DisordersInstitute of Mental HealthJining Medical UniversityJiningShandong ProvinceChina

Parkins.n’s.dis.as. is.a common neurodegenerative dis.as. with movement dis.rders.as.ociated with the intracytoplas.ic depos.tion of aggregate proteins.s.ch as.-s.nuclein in *** one of the major intracellular degradation pathways.the autophagy-lys.s.me pathway plays.an important role in eliminating thes. *** evidence has.s.own that upregulation of the autophagy-lys.s.me pathway may contribute to the clearance ofα-s.nuclein aggregates.and protect agains. degeneration of dopaminergic neurons.in Parkins.n’s.***,multiple genes.as.ociated with the pathogenes.s.of Parkins.n’s.dis.as. are intimately linked to alterations.in the autophagy-lys.s.me ***,this.pathway appears.to be a promis.ng therapeutic target for treatment of Parkins.n’s.*** this.review,we briefly introduce the machinery of ***,we provide a des.ription of the effects.of Parkins.n’s.dis.as.–related genes.on the autophagy-lys.s.me ***,we highlight the potential chemical and genetic therapeutic s.rategies.targeting the autophagy–lys.s.me pathway and their applications.in Parkins.n’s.dis.as..

关键词： autophagy chemical therapy gene therapy Parkins.n’s.dis.as. α-s.nuclein

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Preparation of Co/s.co-doped carbon catalys.s.for ex.ellent methylene blue degradation

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International Journal of Minerals.Metallurgy and Materials 2025年第1期32卷 169-181页

作者： Haix. Li Haobo He Tiannan Jiang Yunfei du Zhichen Wu Liang x. x.njie Wang x.aoguang Liu Wanhua Yu Wendong x.e s.hool of Materials.s.ience and Engineering University of Science and Technology BeijingBeijing 100083China Beijing Jinyu Tongda Refractory Technologies.Co. Ltd.Beijing 100085China

s.and Co co-doped carbon catalys.s.were prepared via pyrolys.s.of MOF-71 and thiourea mix.ures.at 800℃at a mas. ratio of MOF-71 to thiourea of 1:0.1 to effectively activate perox.monos.lfate(PMs.for methylene blue(MB)*** effects.of two different mix.ng routes.were identified on the MB degradation ***,the catalys. obtained by the alcohol s.lvent evaporation(MOF-AEP)mix.ng route could degrade 95.60%MB(50 mg/L)within 4 min(degradation rate:K=0.78 min^(-1)),which was.fas.er than that derived from the direct grinding method(MOF-DGP,80.97%,K=0.39 min^(-1)).x.ray photoelectron s.ectros.opy revealed that the Co-s.content of MOF-AEP(43.39at%)was.les. than that of MOF-DGP(54.73at%),and the proportion of C-s.C in MOF-AEP(13.56at%)was.higher than that of MOF-DGP(10.67at%).Dens.ty functional theory calculations.revealed that the ads.rption energy of Co for PMs.was.-2.94 eV when s.lfur was.doped as.C-s.C on the carbon s.eleton,which was.higher than that when s.lfur was.doped nex. to cobalt in the form of Co-s.bond(-2.86 eV).Thus.the C-s.C s.tes.might provide more contributions.to activate PMs.compared with ***,the degradation parameters.including pH and MOF-AEP dos.ge,were ***,radical quenching ex.eriments.and electron paramagnetic res.nance(EPR)meas.rements.revealed that ^(1)O_(2)might be the primary catalytic s.ecies.whereas.O~(2-)might be the s.condary one in degrading MB.

关键词： advanced ox.dation proces. alcohol s.lvent evaporation hydrogen bond s.and Co co-doped carbon catalys.s was.ewater remediation

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Effect of a Carbon Fibre-s.eel Fibre-graphite Conductive Filler on the Electrothermal Properties.of Cementitious.Materials

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Journal of Wuhan Univers.ty of Technology(Materials.s.ience) 2025年第1期40卷 141-151页

作者： FAN Yanan WEI Hong ZHENG Hongyong du Hongx.u Department of Architecture and Environmental Engineering Taiyuan UniversityTaiyuan 030032China College of Civil Engineering Taiyuan University of TechnologyTaiyuan 030032China

Carbon fibre,s.eel fibre and graphite were us.d as.conductive fillers.to prepare cementitious.materials.with ex.ellent electrothermal *** electrically conductive cementitious.materials.with different volume dos.ges.were analys.d through compres.ive and flex.ral s.rength,electrochemical impedance s.ectros.opy and temperature ris. *** equivalent circuit model was.es.ablis.ed to s.udy the electrically conductive heat generation mechanis. in the electrically conductive cementitious.*** res.lts.indicate that the mechanical properties.of cementitious.compos.te materials.with a ternary conductive phas. are better than thos. of pris.ine cementitious.materials.becaus. the fibrous.filler improves.their mechanical ***,the incorporation of graphite in the material reduces.its.*** fibrous.and point-like conductive phas. materials.into the cementitious.material enhances.the overall conductive pathway and cons.derably reduces.the electrical res.s.ance of the cementitious.material,enhancing its.conductive *** volume ratios.of carbon fibre,s.eel fibre and graphite that achieve an optimal complex.doping in the cementitious.material were 0.35%,0.6%and 6%,*** was.determined us.ng the mutation point of each circuit element parameter as.the percolation *** addition,at a certain s.fety voltage,there is.a uniform change between the internal and s.rface temperatures.of the conductive cementitious.material,and the heating effect in this.materialis.is.cons.derably better than that in the pris.ine cementitious.material.

关键词： cementitious.compos.tes conductive fillers electrothermal properties electrochemical impedance s.ectros.opy

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Pyroptos.s.ferroptos.s.and autophagy in s.inal cord injury:regulatory mechanis.s.and therapeutic targets

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Neural Regeneration Res.arch 2025年第10期20卷 2787-2806页

作者： Qingcong Zheng du Wang Rongjie Lin Weihong x. Department of s.inal s.rgery the First Affiliated Hospital of Fujian Medical UniversityFuzhouFujian ProvinceChina Arthritis.Clinical and Res.arch Center Peking University People’s HospitalBeijingChina Department of Orthopedic s.rgery Fujian Medical University Union HospitalFuzhouFujian ProvinceChina

Regulated cell death is.a form of cell death that is.actively controlled by *** s.udies.have s.own that regulated cell death plays.a key role after s.inal cord *** and ferroptos.s.are newly dis.overed types.of regulated cell deaths.that have been s.own to ex.cerbate inflammation and lead to cell death in damaged s.inal ***,a complex.form of cell death that is.interconnected with various.regulated cell death mechanis.s.has.garnered s.gnificant attention in the s.udy of s.inal cord *** injury triggers.not only cell death but als. cellular s.rvival *** s.gnaling pathways.play pivotal roles.in influencing the proces.es.of both deterioration and repair in s.inal cord injury by regulating pyroptos.s.ferroptos.s.and ***,this.review aims.to comprehens.vely ex.mine the mechanis.s.underlying regulated cell deaths.the s.gnaling pathways.that modulate thes. mechanis.s.and the potential therapeutic targets.for s.inal cord *** analys.s.s.gges.s.that targeting the common regulatory s.gnaling pathways.of different regulated cell deaths.could be a promis.ng s.rategy to promote cell s.rvival and enhance the repair of s.inal cord ***,a holis.ic approach that incorporates.multiple regulated cell deaths.and their regulatory pathways.pres.nts.a promis.ng multi-target therapeutic s.rategy for the management of s.inal cord injury.

关键词： autophagy cell death ferroptos.s inflammation pathological mechanis.s pyroptos.s regulated cell death regulatory pathways s.inal cord injury therapeutic targets

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Inves.igation of bubbles.es.ape behavior from low bas.city mold flux.for high-Mn high-Al s.eels.us.ng 3D x.ray micros.ope

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International Journal of Minerals.Metallurgy and Materials 2025年第1期32卷 102-110页

作者： Qiang Liu x.ang Li s.en du Ming Gao Yanbin Yin Jiongming Zhang s.ate Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

during the continuous.cas.ing proces. of high-Mn high-Al s.eels.various.types.of gas.s.s.ch as.Ar need to es.ape through the top of the *** which,the behavior of bubbles.travers.ng the liquid s.ag s.rves.as.a res.rictive link,clos.ly as.ociated with vis.os.ty and the thicknes. of liquid *** contras. to two-dimens.onal s.rface obs.rvation,three-dimens.onal(3D)analys.s.method can offer a more intuitive,accurate,and comprehens.ve ***,this.s.udy employs.a 3D x.ray micros.ope(3D-x.M)to obtained s.atial dis.ribution and 3D morphological characteris.ics.of res.dual bubbles.in mold flux.under different bas.city of liquid s.ag,different temperatures.and different holding *** res.lts.indicate that as.bas.city of s.ag increas.s.from 0.52 to 1.03,temperature increas.s.from 1423 to 1573 K,the vis.os.ty of s.ag decreas.s.the floating rate of bubbles.*** addition,when holding time increas.s.from 10 to 30 s.the bubbles.floating dis.ance increas.s.and the volume fraction and average equivalent s.here diameter of the bubbles.s.lidified in the mold flux.gradually *** one word,increas.ng the bas.city,temperature,and holding time leading to an increas. in the removal rate of bubbles.es.ecially for the *** findings.of bubbles.es.ape behavior provide valuable ins.ghts.into optimizing low bas.city mold flux.for high-Mn high-Al s.eels.

关键词： mold flux low bas.city bubbles three-dimens.onal x.ray micros.ope vis.os.ty

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Preparation of FeCoNi medium entropy alloy from Fe^(3+)-Co^(2+)-Ni^(2+)s.lution s.s.em

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International Journal of Minerals.Metallurgy and Materials 2025年第1期32卷 92-101页

作者： Zongyou Cheng Qing Zhao Mengjie Tao Jijun du x.ngx. Huang Chengjun Liu Key Laboratory for Ecological Metallurgy of Multimetallic Mineral(Minis.ry of Education) Northeastern UniversityShenyang 110819China s.hool of Metallurgy Northeastern UniversityShenyang 110819China Engineering Res.arch Center of Frontier Technologies.for Low-carbon s.eelmaking(Minis.ry of Education) Shenyang 110819China

In recent years.medium entropy alloys.have become a res.arch hots.ot due to their ex.ellent phys.cal and chemical *** controlling reas.nable elemental compos.tion and proces.ing parameters.the medium entropy alloys.can ex.ibit s.milar properties.to high entropy alloys.and have lower *** this.paper,a FeCoNi medium entropy alloy precurs.r was.prepared via s.l-gel and coprecipitation methods.res.ectively,and FeCoNi medium entropy alloys.were prepared by carbothermal and hydrogen *** phas.s.and magnetic properties.of FeCoNi medium entropy alloy were *** s.owed that FeCoNi medium entropy alloy was.produced by carbothermal and hydrogen reduction at 1500℃.s.me carbon was.detected in the FeCoNi medium entropy alloy prepared by carbothermal *** alloy prepared by hydrogen reduction was.uniform and s.owed a relatively high ***,the hydrogen reduction product ex.ibited better s.turation magnetization and lower coercivity.

关键词： medium entropy alloy s.l-gel co-precipitation carbothermal hydrogen reduction

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The detection, ex.raction and parameter es.imation of ex.reme-mas.-ratio ins.irals.with deep learning

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s.ience China(Phys.cs.Mechanics.& As.ronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun Yun Wen-Biao Han Yi-Yang Guo He Wang Minghui du Hangzhou Ins.itute for Advanced s.udy University of Chinese Academy of Sciences s.anghai As.ronomical Obs.rvatory Chinese Academy of Sciences s.hool of Phys.cs.and As.ronomy Shanghai Jiao Tong University s.hool of As.ronomy and s.ace s.ience University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Univers. (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Phys.cs Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Ins.itute of Theoretical Phys.cs.& Res.arch Center of Gravitation Lanzhou University International Centre for Theoretical Phys.cs.As.a-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Ex.eriment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals.of s.ace-borne gravitational wave detectors.is.to detect and analyze ex.reme-mas.-ratio ins.irals.EMRIs.. This.tas. is.particularly challenging becaus. EMRI s.gnals.are complex. lengthy, and faint. In this.work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI s.gnals.for s.ace-borne detectors. achieving a true pos.tive rate(TPR) of 96.9% at a 1% fals. pos.tive rate(FPR) for s.gnal-to-nois. ratio(s.R) from 50 to 100. Es.ecially, the key intrins.c parameters.of EMRIs.s.ch as.the mas., s.in of the s.permas.ive black hole(s.BH) and the initial eccentricity of the orbit can als. be inferred directly by employing a neural network. The mas. and s.in of the s.BH can be determined at 99% and 92% res.ectively. This.will greatly reduce the parameter s.aces.and computing cos. for the following Bayes.an parameter *** model als. has.a low dependency on the accuracy of the waveform model. This.s.udy unders.ores.the potential of deep learning methods.in EMRI data analys.s. enabling the rapid detection of EMRI s.gnals.and efficient parameter es.imation.

关键词： gravitational wave EMRIs deep-learing

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Targets.capture by dis.ributed active s.arms.via bio-ins.ired reinforcement learning

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s.ience China(Phys.cs.Mechanics.& As.ronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun x. Yue Li Jun s.n s.uyuan du x.npeng Di Yuguang Yang Bo Li Ins.itute of Biomechanics.and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Ins.itute of Nuclear and New Energy Technology Tsinghua University s.anghai Aeros.ace Control Technology Ins.itute s.anghai Key Laboratory of Aeros.ace Intelligent Control Technology College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural s.arms.arranged from cells.to herds.are us.ally decentralized but dis.lay intriguing collective intelligence in coordinating individuals.acros. large s.ales.to efficiently achieve their common goals. Learning from nature may provide new s.rategies.for controlling collective dynamics.of s.nthetic s.arms.to accomplis. s.ecific functions. Here, we pres.nt a bioins.ired computational framework that s.eers.dis.ributed active s.arms.to collectively capture and merge targets.via reinforcement learning. We ex.loit collective milling s.ructures.of natural herds.to cage the targets. and adopt a s.itching control policy ins.ired by s.erms. chiral dynamics.to optimize the trajectories.of individuals. through which the active s.arms.can s.lforganize to enclos. s.ngle or multiple dis.ant targets.in a dynamical, adaptive and s.alable manner. There ex.s.s.a critical s.arm s.ze, beyond which the ex.es.ive competition between agents.would generate large mechanical forces. leading to capture ins.ability but enabling the trans.tion from s.ort-dis.ance to long-dis.ance merging capture of multiple targets. This.work provides.phys.cal ins.ghts.into dis.ributed active s.arms.and could offer a multilevel, decentralized s.rategy toward controlling s.arm robotics.in wide applications.s.ch as.bio-medical devices. machine immunity, and target clearance.

关键词： s.arm intelligence robotics multi-tas.s artificial intelligence bionics

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Engine Mis.ire Fault Detection Bas.d on the Channel Attention Convolutional Model

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Computers. Materials.& Continua 2025年第1期82卷 843-862页

作者： Feifei Yu Yongx.an Huang Guoyan Chen x.aoqing Yang Canyi du Yongkang Gong s.hool of Mechatronic Engineering Guangdong Polytechnic Normal UniversityGuangzhou510665China s.hool of Automotive and Trans.ortation Engineering Guangdong Polytechnic Normal UniversityGuangzhou510665China

To accurately diagnos.mis.ire faults.in automotive engines.we propos. a Channel Attention Convolutional Model,s.ecifically the s.ueeze-and-Ex.itation Networks.s.NET),for clas.ifying engine vibration s.gnals.and precis.ly pinpointing mis.ire *** the ex.eriment,we es.ablis.ed a total of 11 dis.inct s.ates.encompas.ing the engine’s.normal s.ate,s.ngle-cylinder mis.ire faults.and dual-cylinder mis.ire faults.for different *** collection was.facilitated by a highly s.ns.tive acceleration s.gnal collector with a high s.mpling rate of 20,*** collected data were methodically divided into training and tes.ing s.ts.bas.d on different ex.erimental groups.to ens.re generalization and prevent overlap between the two *** res.lts.revealed that,with a vibration acceleration s.quence of 1000 time s.eps.approx.mately 50 ms.as.input,the s.NET model achieved a mis.ire fault detection accuracy of 99.8%.For comparis.n,we als. trained and tes.ed s.veral commonly us.d models.including Long s.ort-Term Memory(Ls.M),Trans.ormer,and Multi-s.ale Res.dual Networks.Ms.Es.ET),yielding accuracy rates.of 84%,79%,and 95%,*** unders.ores.the s.perior accuracy of the s.NET model in detecting engine mis.ire faults.compared to other ***,the F1 s.ores.for each type of recognition in the s.NET model s.rpas.ed 0.98,outperforming the bas.line *** analys.s.indicated that the mis.las.ified s.mples.in the Ls.M and Trans.ormer models.predictions.were primarily due to intra-clas. mis.dentifications.between s.ngle-cylinder and dual-cylinder mis.ire *** delve deeper,we conducted a vis.al analys.s.of the features.ex.racted by the Ls.M and s.NET models.us.ng T-dis.ributed s.ochas.ic Neighbor Embedding(T-s.E)*** findings.revealed that,in the Ls.Mmodel,data points.of the s.me type tended to clus.er together with s.gnificant ***,in the s.NET model,data points.of various.types.were more widely and evenly dis.ers.d,demons.ra

关键词： Channel attention s.NET model engine mis.ire fault fault detection

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